Senior Manager - AI Engineering

About This Role

Senior Manager – AI Engineering (GenAI & MLOps Platform)

Discover the Opportunity:

We’re partnering with a major Abu Dhabi-based financial services organisation that is investing substantial capital into

its AI transformation , building a world-class AI Centre of Excellence (CoE) to accelerate the development and deployment of AI across the business.

As part of this ambitious programme, the organisation is hiring a Senior AI Engineering Manager to lead the development of its Generative AI and MLOps platform , enabling scalable AI solutions across the business.

This is a highly visible leadership role combining deep hands-on technical expertise with platform ownership and team leadership . You will play a central role in designing the infrastructure, frameworks, and best practices that power conversational AI, agentic AI systems, and enterprise-scale machine learning platforms.

Discover the Role:

As Senior AI Engineering Manager , you will lead the development of the organisation’s GenAI and MLOps platform , ensuring that AI solutions can be built, deployed, and operated at scale.

Working as part of a rapidly expanding AI CoE, you will oversee a team of engineers and contractors responsible for building the foundational platforms that support AI product development across multiple business lines.

This role requires a leader who is highly technical and hands-on , capable of guiding architecture decisions while also contributing directly to engineering and platform development.

Discover the Responsibilities:

• Lead the design and development of the organisation’s Generative AI and MLOps platform , enabling scalable AI deployment across the business
• Build and manage modern AI infrastructure , including Kubernetes environments, CI/CD pipelines, and infrastructure-as-code frameworks
• Develop and maintain platform capabilities for GenAI applications , including RAG architectures, model deployment, monitoring, and governance
• Establish engineering best practices, tooling, and platform standards to support AI engineers building and deploying AI solutions
• Collaborate with data scientists, AI engineers, and product teams to support the delivery of conversational AI, chatbots, and agentic AI applications
• Lead and mentor a team of engineers and contractors , ensuring strong technical direction and delivery quality across AI platform initiatives
• Contribute to the scaling and evolution of enterprise AI platform capabilities as part of the wider AI transformation programme

Discover the Requirements:

• 10+ years of experience in AI engineering, machine learning engineering, or data platform engineering roles
• Strong hands-on experience building MLOps platforms and AI infrastructure using technologies such as Kubernetes, Docker, and CI/CD frameworks
• Experience building and deploying Generative AI applications , including RAG architectures, conversational AI, or agentic workflows
• Strong cloud experience with AWS or Azure , including infrastructure-as-code and scalable ML deployment environments
• Proven experience leading technical teams while remaining hands-on with architecture and code
• Strong understanding of ML lifecycle management, model deployment, monitoring, and governance
• Excellent stakeholder management skills and the ability to operate in fast-paced, high-impact AI environments